AI Engineer Sr
AI Engineer Sr
Posted yesterday
SENIORITY
Lead
About the role
- Bachelor’s degreein Computer Science, AI, Data Science, or a related field; Master’s preferred .5–7 yearsof AI/ML engineering experience with a track record delivering production-grade solutions.
- Expert-level proficiency inPython, major LLM frameworks ( LangChain , Hugging Face , OpenAI APIs ), and AI agent orchestration.
- Strong knowledge of cloud-native AI deployment onAWSand containerization with
- DockerandKubernetes .Experience buildingREST/GraphQL APIsand designingdata pipelines .Effective communication skills for conveying technical information to diverse stakeholders.
- Ability to work in teams and lead cross-functional collaboration.
- Exposure toMLOpspractices includingCI/CDandmodel monitoring, plus discussions on data privacy and ethics.
- Demonstrated ability to mentor and guide junior team members.
- Strong analytical skills to tackle complex challenges.
- Open to adopting new technologies and enhancing workflows in a dynamic environment.
- Core technologies
- Python, LangChain, Hugging Face, OpenAI APIsAWS, Docker, KubernetesREST, GraphQLCI/CD, model monitoring
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
